Best Speech to Text Software for Decibri
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Compare the Top Speech to Text Software that integrates with Decibri as of November 2026
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This a list of Speech to Text software that integrates with Decibri. Use the filters on the left to add additional filters for products that have integrations with Decibri. View the products that work with Decibri in the table below.
What is Speech to Text Software for Decibri?
Speech-to-text software is software that converts spoken language into written text, allowing users to dictate instead of typing. These platforms typically use speech recognition algorithms and natural language processing (NLP) to transcribe spoken words into accurate text in real time. Speech-to-text software is commonly used in various industries for tasks such as transcription, note-taking, dictation, and accessibility. It can be integrated with other tools like word processors, customer service software, and medical or legal documentation systems. Many of these tools also offer features like punctuation insertion, voice commands, speaker identification, and multi-language support to enhance transcription accuracy and productivity. Compare and read user reviews of the best Speech to Text software for Decibri currently available using the table below. This list is updated regularly.
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1
Google Cloud Speech-to-Text
Google
Google Cloud Speech-to-Text is a powerful solution for converting speech into written text, making it easier to analyze audio data and create transcriptions. Its high level of accuracy, even in noisy environments, ensures that businesses can rely on it for critical applications, from customer service call transcriptions to voice-activated applications. The service supports multiple languages and can differentiate between speakers, making it an excellent tool for interviews, meetings, and conferences. New customers can explore this technology with $300 in free credits, allowing them to test the service’s capabilities before committing to a larger investment.Starting Price: Free ($300 in free credits) -
2
Amazon Transcribe
Amazon
Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.Starting Price: $0.00013 -
3
AssemblyAI
AssemblyAI
Automatically convert audio and video files and live audio streams to text with AssemblyAI's speech-to-text APIs. Do more with audio intelligence, summarization, content moderation, topic detection, and more. Powered by cutting-edge AI models. From in-depth tutorials to detailed changelogs, to comprehensive documentation, AssemblyAI is focused on providing developers a great experience every step of the way. From core speech-to-text conversion to sentiment analysis, our simple API offers a full suite of solutions catered to all your business speech-to-text needs. We work with startups of all sizes, from early-stage startups to scale-ups, by providing cost-efficient speech-to-text solutions. We're built for scale. We process millions of audio files every day for hundreds of customers, including dozens of Fortune 500 enterprises. Universal-2: Our most advanced speech-to-text model captures the complexity of human speech for impeccable audio data that powers sharper insights.Starting Price: $0.00025 per second -
4
Deepgram
Deepgram
Deploy accurate speech recognition at scale while continuously improving model performance by labeling data and training from a single console. We deliver state-of-the-art speech recognition and understanding at scale. We do it by providing cutting-edge model training and data-labeling alongside flexible deployment options. Our platform recognizes multiple languages, accents, and words, dynamically tuning to the needs of your business with every training session. The fastest, most accurate, most reliable, most scalable speech transcription, with understanding — rebuilt just for enterprise. We’ve reinvented ASR with 100% deep learning that allows companies to continuously improve accuracy. Stop waiting for the big tech players to improve their software and forcing your developers to manually boost accuracy with keywords in every API call. Start training your speech model and reaping the benefits in weeks, not months or years.Starting Price: $0 -
5
Azure AI Speech
Microsoft
Build voice-enabled apps confidently and quickly with the Speech SDK. Transcribe speech to text with high accuracy, produce natural-sounding text-to-speech voices, translate spoken audio, and use speaker recognition during conversations. Create custom models tailored to your app with Speech studio. Get state-of-the-art speech to text, lifelike text to speech, and award-winning speaker recognition. Your data stays yours, your speech input is not logged during processing. Create custom voices, add specific words to your base vocabulary, or build your own models. Run Speech anywhere, in the cloud or at the edge in containers. Quickly and accurately transcribe audio in more than 92 languages and variants. Gain customer insights with call center transcription, improve experiences with voice-enabled assistants, capture key discussions in meetings and more. Use text to speech to create apps and services that speak conversationally, choosing from more than 215 voices, and 60 languages. -
6
Voxtral
Mistral AI
Voxtral models are frontier open source speech‑understanding systems available in two sizes—a 24 B variant for production‑scale applications and a 3 B variant for local and edge deployments, both released under the Apache 2.0 license. They combine high‑accuracy transcription with native semantic understanding, supporting long‑form context (up to 32 K tokens), built‑in Q&A and structured summarization, automatic language detection across major languages, and direct function‑calling to trigger backend workflows from voice. Retaining the text capabilities of their Mistral Small 3.1 backbone, Voxtral handles audio up to 30 minutes for transcription or 40 minutes for understanding and outperforms leading open source and proprietary models on benchmarks such as LibriSpeech, Mozilla Common Voice, and FLEURS. Accessible via download on Hugging Face, API endpoint, or private on‑premises deployment, Voxtral also offers domain‑specific fine‑tuning and advanced enterprise features. -
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OpenAI Realtime API
OpenAI
The OpenAI Realtime API is a newly introduced API, announced in 2024, that allows developers to create applications that facilitate real-time, low-latency interactions, such as speech-to-speech conversations. This API is designed for use cases like customer support agents, AI voice assistants, and language learning apps. Unlike previous implementations that required multiple models for speech recognition and text-to-speech conversion, the Realtime API handles these processes seamlessly in one call, enabling applications to handle voice interactions much faster and with more natural flow.
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